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smartdata-analysis-and-statistics / precmed

A doubly robust precision medicine approach to estimate and validate conditional average treatment effects
https://smartdata-analysis-and-statistics.github.io/precmed/
Apache License 2.0
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Warning in example (data.preproc.surv) #8

Closed NightlordTW closed 1 year ago

NightlordTW commented 1 year ago 
   > # Survival outcome
   > tau0 <- with(survivalExample,
   +              min(quantile(y[trt == "drug1"], 0.95), quantile(y[trt == "drug0"], 0.95)))
   > 
   > output_cv2 <- cv(response = "survival",
   +                  cate.model = survival::Surv(y, d) ~ age + female
   +                                                          + previous_cost + previous_number_relapses,
   +                  ps.model = trt ~ age + previous_treatment,
   +                  ipcw.model = ~ age + previous_cost + previous_treatment,
   +                  data = survivalExample,
   +                  score.method = c("poisson", "randomForest"),
   +                  followup.time = NULL,
   +                  tau0 = tau0,
   +                  surv.min = 0.025,
   +                  higher.y = TRUE,
   +                  cv.n = 5,
   +                  initial.predictor.method = "randomForest",
   +                  plot.gbmperf = FALSE,
   +                  seed = 999)
   Warning in data.preproc.surv(fun = "cv", cate.model = cate.model, ps.model = ps.model,  :
     Variable trt was recoded to 0/1 with drug0->0 and drug1->1.